Gnani.ai

Python Developer Intern

InternshipWork from HomeBengaluru, Karnataka3 months45K/mo3 openingsImmediate / Rolling

About this internship

Start your career in Python backend development with Gnani.ai as a Python Developer Intern in Bengaluru. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Python Developer Intern at Gnani.ai, your core focus…

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Skills you'll use

PythonDjango / FastAPIREST APIsSQLGitUnit TestingData StructuresDebuggingDocker BasicsAPI Documentation

What you'll do

Work on building Python services and APIs alongside the core team
Apply Python, Django / FastAPI, REST APIs, SQL to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech/BCA/MCA/B.Sc (CS, IT) — 2026 freshers & final-year students welcome
Working knowledge of Python, Django / FastAPI, REST APIs (or a genuine willingness to learn them)
Strong fundamentals in your discipline and clear problem-solving ability
Care with detail and the discipline to document your work
Clear written and verbal communication in English
Based in or willing to work from Bengaluru, Karnataka

Perks & benefits

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

Interview & selection process

4 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Discussion with the hiring manager on the role and your fit
3Team-fit / behavioural interview with the team
4HR discussion — stipend, start date, expectations and offer

About Gnani.ai

Gnani.ai operates in the speech ai sector and has an active presence in Bengaluru. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The work…

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